A new asynchronous data fusion algorithm was adopted in this paper. This new fusion algorithm was based on the feedback fusion and the delicate time-slicing. Its basic idea is: at instants with neither passive (PTT) nor active target tracking (ATT) measurements, it will predict this instant's states based on last instant's filtering result; at instants with only active or passive target tracking measurement, it will use its own filtering algorithm i.e., Converted Measurement Kalma-n Filter (CMKF) for active radar, Pseudo Linear Estimator (PLE) with frequency information for passive radar to get this instant's states; at instants with both passive and active target tracking measurements, it will fuse the active and passive measurements by feedback fusion algorithm, with the passive radar receiving the feedback information. The advantage of this new algorithm is that it can fuse the active and passive target tracking with non multiple integer sampling period ratio. This paper also extended the 2D constant velocity moving target to the 3D maneuvering target. Simulation results indicate that the new fusion algorithm can improve the tracking performance in some acceptable degree.
